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, and measure success. Basic Qualifications: A BS in engineering, science, or physics plus 15 years relevant experience or equivalent combination of experience and education (MS +12 years or PhD +6 years
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Qualifications: A minimum of 5 years of experience in electrocatalysis (including PhD training period) A strong background in the study of kinetics and mechanisms of electrocatalysis Expertise in situ/operando
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– in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in in Material Science and Engineering, Mechanical Engineering, or a related field A minimum of 6 years
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research experience beyond the PhD. A well established track record of research in an area relevant to one or more areas of expertise of the group. Knowledge of state-of-the-art machine and deep learning
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respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD degree in Materials Science or a related discipline A minimum of 2 years of experience in
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interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote diversity, equity, inclusion, and accessibility by fostering a respectful workplace. Basic Qualifications: A PhD in
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measure success. Basic Qualifications: A PhD in chemistry, materials science, ceramic engineering, chemical engineering, or a closely related field completed within the last 5 years. A minimum of 2 years
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Qualifications: PhD in physics, nuclear engineering, mathematics, statistics, or a related field with a minimum of 2 years of research or laboratory experience Demonstrated capabilities and experience in data
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success. Basic Qualifications: PhD in physics, materials science, or related discipline completed within the last five years. Background in one or more of neutron scattering, X-ray scattering
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together, and measure success. Basic Qualifications: A PhD degree in Physics, Chemistry, Biology, Computer Science, or a related discipline A minimum of 3 years of experience in machine learning applied